Imagen de Portada

Segmented Private Data Aggregation in the Multi-message Shuffle Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Shaowei, Chen, Hongqiao, Zeng, Sufen, Yang, Ruilin, Jiang, Hui, Ye, Peigen, Yu, Kaiqi, Mei, Rundong, Huang, Shaozheng, Yang, Wei, Xin, Bangzhou
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
por: Li, Xiaoguang, et al.
Publicado: (2026)

Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
por: Wang, Shaowei, et al.
Publicado: (2024)

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
por: Wang, Shaowei, et al.
Publicado: (2023)

RAIN: Secure and Robust Aggregation under Shuffle Model of Differential Privacy
por: Li, Yuhang, et al.
Publicado: (2026)

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches
por: Farias, Victor A. E., et al.
Publicado: (2024)

To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
por: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Publicado: (2024)

Private Aggregate Queries to Untrusted Databases
por: Hafiz, Syed Mahbub, et al.
Publicado: (2024)

TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense
por: Liu, Cheng, et al.
Publicado: (2026)

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
por: Zhang, Jianqing, et al.
Publicado: (2025)

Shuffling for Semantic Secrecy
por: Chen, Fupei, et al.
Publicado: (2025)

Samplable Anonymous Aggregation for Private Federated Data Analysis
por: Talwar, Kunal, et al.
Publicado: (2023)

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
por: Yang, Kun, et al.
Publicado: (2025)

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
por: Chen, Zhuo, et al.
Publicado: (2025)

Differentially Private Block-wise Gradient Shuffle for Deep Learning
por: Zagardo, David
Publicado: (2024)

Weights Shuffling for Improving DPSGD in Transformer-based Models
por: Yang, Jungang, et al.
Publicado: (2024)

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data
por: Murakami, Takao, et al.
Publicado: (2025)

Defense against Poisoning Attacks under Shuffle-DP
por: Wang, Siyi, et al.
Publicado: (2026)

Differentially Private Rankings via Outranking Methods and Performance Data Aggregation
por: Del Vasto-Terrientes, Luis
Publicado: (2025)

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
por: Chen, E, et al.
Publicado: (2023)

A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation
por: Morona-Mínguez, Miguel, et al.
Publicado: (2026)

Verifying the Fisher-Yates Shuffle Algorithm in Dafny
por: Zetzsche, Stefan, et al.
Publicado: (2025)

Practical Traceable Over-Threshold Multi-Party Private Set Intersection
por: Yang, Le, et al.
Publicado: (2025)

Multi-Party Private Set Operations from Predicative Zero-Sharing
por: Dong, Minglang, et al.
Publicado: (2025)

Correction to Local Information Privacy and Its Applications to Data Aggregation
por: Jiang, Bo, et al.
Publicado: (2024)

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
por: Lang, Natalie, et al.
Publicado: (2023)

Private Data Imputation
por: Kati, Abdelkarim, et al.
Publicado: (2025)

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
por: Li, Zhengyi, et al.
Publicado: (2026)

Bayesian Advantage of Re-Identification Attack in the Shuffle Model
por: Su, Pengcheng, et al.
Publicado: (2025)

A Complexity Hierarchy of Shuffles in Card-Based Protocols
por: Ono, Tomoki, et al.
Publicado: (2026)

Transmitter Identification via Volterra Series Based Radio Frequency Fingerprint
por: Jiang, Rundong, et al.
Publicado: (2025)

Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning
por: Ball, Marshall, et al.
Publicado: (2024)

Differentially Private Attention Computation
por: Gao, Yeqi, et al.
Publicado: (2023)

Optimal Locally Private Nonparametric Classification with Public Data
por: Ma, Yuheng, et al.
Publicado: (2023)

Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
por: Ma, Yiping, et al.
Publicado: (2023)

Decomposition-Based Optimal Bounds for Privacy Amplification via Shuffling
por: Su, Pengcheng, et al.
Publicado: (2025)

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
por: Takagi, Shun, et al.
Publicado: (2024)

Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
por: Chen, Tianxin, et al.
Publicado: (2026)

HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings
por: Li, Xiaochen, et al.
Publicado: (2026)

Private Count Release: A Simple and Scalable Approach for Private Data Analytics
por: Rogers, Ryan
Publicado: (2024)

Tight Differential Privacy Guarantees for the Shuffle Model with $k$-Randomized Response
por: Biswas, Sayan, et al.
Publicado: (2022)